Gahow Wang
92acf9f413
Stand up the xtrain project skeleton: a Cargo workspace mirroring xserv's csrc/ + crates/ layout, with a single xtrain-cuda crate that wraps the CUDA Runtime over hand-written extern "C" FFI. build.rs compiles csrc/test/vecadd.cu via the cc crate targeting sm_120 (RTX 5090) and links cudart. A gated integration test runs the vector-add kernel on the GPU and asserts the result. When nvcc is absent (local GPU-less machine), build.rs skips CUDA compilation and sets a `no_cuda` cfg so host-side cargo check still works. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
40 lines
1.3 KiB
Rust
40 lines
1.3 KiB
Rust
use std::env;
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use std::path::Path;
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use std::process::Command;
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fn main() {
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println!("cargo:rustc-check-cfg=cfg(no_cuda)");
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println!("cargo:rerun-if-changed=../../csrc/");
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let cuda_path = env::var("CUDA_HOME")
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.or_else(|_| env::var("CUDA_PATH"))
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.unwrap_or_else(|_| "/usr/local/cuda".to_string());
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// Locally there is no nvcc / GPU. Detect that and skip the CUDA build so
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// `cargo check`/`cargo build` of host-side Rust still works. The `no_cuda`
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// cfg makes the FFI bindings + smoke test compile (but not run) without nvcc.
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if !nvcc_available(&cuda_path) {
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println!("cargo:warning=nvcc not found — skipping CUDA compilation (host-only build).");
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println!("cargo:rustc-cfg=no_cuda");
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return;
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}
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println!("cargo:rustc-link-search=native={cuda_path}/lib64");
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println!("cargo:rustc-link-lib=dylib=cudart");
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println!("cargo:rustc-link-lib=dylib=cuda");
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cc::Build::new()
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.cuda(true)
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.cudart("shared")
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.flag("-gencode=arch=compute_120,code=sm_120")
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.file("../../csrc/test/vecadd.cu")
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.compile("xtrain_cuda_kernels");
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}
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fn nvcc_available(cuda_path: &str) -> bool {
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if Command::new("nvcc").arg("--version").output().is_ok() {
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return true;
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}
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Path::new(&format!("{cuda_path}/bin/nvcc")).exists()
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}
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